Evidence map›Paper›PMID 29222852›Full record

ArticleMagnetic resonance in medicine2018

Free-breathing whole-heart 3D cine magnetic resonance imaging with prospective respiratory motion compensation.

Mehdi H Moghari, Ashita Barthur, Maria E Amaral, Tal Geva, Andrew J Powell

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Society for Cardiovascular Magnetic Resonance recommendations toward environmentally sustainable cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    Guideline
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  18. Cardiac phase-resolved late gadolinium enhancement imaging.Frontiers in cardiovascular medicine · 2022
    Article
  19. Cardiac MR: From Theory to Practice.Frontiers in cardiovascular medicine · 2022
    Review
  20. A completely automated pipeline for 3D reconstruction of human heart from 2D cine magnetic resonance slices.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mehdi H MoghariDepartment of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA.
Ashita BarthurDepartment of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA.
Maria E AmaralDepartment of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA.
Tal GevaDepartment of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA.
Andrew J PowellDepartment of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA.

Funding

Harvard Clinical and Translational Science CenterKL2TR001100 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$8.5M
NCATS NIH HHS KL2 TR001100
6 · The paper itself

Abstract

purposeTo develop and validate a new prospective respiratory motion compensation algorithm for free-breathing whole-heart 3D cine steady-state free precession (SSFP) imaging.

methodsIn a 3D cine SSFP sequence, 4 excitations per cardiac cycle are re-purposed to prospectively track heart position. Specifically, their 1D image is reconstructed and routed into the scanner's standard diaphragmatic navigator processing system. If all 4 signals are in end-expiration, cine image data from the entire cardiac cycle is accepted for image reconstruction. Prospective validation was carried out in patients (N = 17) by comparing in each a conventional breath-hold 2D cine ventricular short-axis stack and a free-breathing whole-heart 3D cine data set.

resultsAll 3D cine SSFP acquisitions were successful and the mean scan time was 5.9 ± 2.7 min. Left and right ventricular end-diastolic, end-systolic, and stroke volumes by 3D cine SSFP were all larger than those from 2D cine SSFP. This bias was < 6% except for right ventricular end-systolic volume that was 12%. The 3D cine images had a lower ventricular blood-to-myocardium contrast ratio, contrast-to-noise ratio, mass, and subjective quality score.

conclusionThe novel prospective respiratory motion compensation method for 3D cine SSFP imaging was robust and efficient and yielded slightly larger ventricular volumes and lower mass compared to breath-hold 2D cine imaging. Magn Reson Med 80:181-189, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Indexed as

MotionRespirationAdolescentAdultAgedAlgorithmsBreath HoldingChildContrast MediaDiaphragmDiastoleFemaleHeartHeart VentriclesHumansImage Interpretation, Computer-AssistedContrast Media3D cinefree-breathingrespiratory motion correctionself-navigatorventricular functionwhole-heart

Identifiers

PMID29222852
PMCPMC5876089

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.